AWS Solutions Architect Certification Case Based Practice Questions Latest Edition 2023

By Exam OG

Looking to ace the AWS Solutions Architect Certification Exam? Check out the latest edition (2023) of the Case-Based Practice Questions for AWS Solutions Architect Certification! This comprehensive ebook contains a plethora of real-world case studies and practice questions designed to sharpen your problem-solving skills and reinforce your knowledge of AWS services and solutions. With detailed answers and explanations provided for each question, you'll be able to identify knowledge gaps and focus your study efforts where they're most needed. Whether you're a beginner or an experienced professional, this ebook is an invaluable resource to help you achieve AWS Solutions Architect Certification success!

• Language: English
• Publisher: Exam OG
• Release date: Mar 24, 2023
• ISBN: 9798215533444

Book preview

Certificate Introduction:

Practice Questions for AWS Solution Architect - Case Based - Latest Edition is a comprehensive book designed to help individuals prepare for the AWS Solution Architect certification exam. This latest edition contains a vast collection of practice questions with detailed explanations, covering all key topics and concepts of the AWS Solution Architect exam.

The book is organized in a case-based format, which means that each question is presented in the context of a real-world scenario. This approach helps the reader to understand the practical application of AWS solutions and services in different scenarios, making it easier to retain and apply the knowledge.

The book covers a range of topics, including AWS services and features such as EC2, S3, RDS, Route 53, VPC, IAM, and more. The practice questions are designed to test the reader's knowledge and understanding of AWS services, their integration, and how they can be used to solve real-world problems.

Additionally, the book includes detailed explanations for each question, enabling the reader to review and understand the concepts thoroughly. The explanations are written in a clear and concise language, making them easy to follow and comprehend.

Practice Questions for AWS Solution Architect - Case Based - Latest Edition is an ideal resource for individuals who want to prepare for the AWS Solution Architect certification exam, as well as those who want to enhance their AWS knowledge and skills.

PRACTICE QUESTIONS

Question 1:

You are working on a project that involves processing and analyzing large amounts of data in real-time. The data is collected from various sources and stored in a DynamoDB database. You have noticed that the database is experiencing latency issues during peak usage times, which is impacting the real-time processing of data. What is the best solution to resolve this issue?

A) Enable DynamoDB Auto Scaling to automatically adjust the read and write capacity of the database based on usage patterns.

B) To handle the substantial amount of data being processed, it is necessary to enlarge the DynamoDB database's capacity.

C) Use Amazon S3 to store the data instead of DynamoDB, as S3 is better equipped to handle large data sets.

D) Implement a caching layer between the application and the DynamoDB database to reduce the number of requests made to the database.

Explanation:

Answer ­­- A

Option A is the correct answer since enabling DynamoDB Auto Scaling allows the database to automatically adjust its read and write capacity to handle the changing workload. This ensures that the database can handle peak usage times without experiencing latency issues.

Option B is not the most effective solution since increasing the size of the database does not address the latency issues caused by peak usage times.

Option C is not the best solution since S3 is designed for object storage and may not be suitable for real-time data processing and analysis.

Option D is not the most efficient solution since implementing a caching layer can reduce the number of requests made to the database but may not address the underlying issue of latency during peak usage times.

Question 2:

Your team has been tasked with developing a highly available web application using AWS. The application is built on a Java-based legacy system, and the team has prior experience using Chef for infrastructure management. The infrastructure must be managed as code and versioned to meet the customer's needs. Which of the following steps should the team take to meet the customer's requirements?

A) Build the architecture using CloudFormation templates like VPC, NAT Gateway, Bastion, and Route53. To version and monitor changes, use CodeCommit.

B) Create an auto-scaling group and configure web services using Chef on EC2 to guarantee maximum availability.

C) Use CloudFormation blueprints to create EC2 instances, VPCs, NAT Gateways, Bastion hosts, and Security Groups. To keep note of changes, use GitHub.

D) Utilizing a CloudFormation template, build an OpsWorks system. Scalability can be enabled by adding a Java component to the stack.

E) To build the Java web services, use OpsWorks; however, since it is not supported, do not include it in the CloudFormation template.

Explanation:

Answer - A

Option A is the correct answer since CloudFormation templates can be used to build the infrastructure, and CodeCommit can be used to version and track changes. AWS OpsWorks is now supported by CloudFormation, so the team can utilize it to manage EC2 instances and set up web services. This meets the customer's requirements of managing infrastructure as code and versioning it.

Option B is not the best solution since AWS OpsWorks is now supported by CloudFormation. Also, creating an auto-scaling group does not guarantee high availability without proper configuration and monitoring.

Option C is incorrect since VPC subnets, NAT gateways, and Bastion hosts are part of infrastructure preparations and do not undergo regular change. CloudFormation should be used for infrastructure and can be version-controlled using GitHub or CodeCommit.

Option D is partially correct, but it does not utilize the team's prior experience with Chef. Also, enabling scaling in config.php file is incorrect, as OpsWorks automatically handles scaling.

Option E is incorrect since AWS OpsWorks is supported by CloudFormation, and it is more appropriate to build an OpsWorks stack as a CloudFormation resource.

Question 3:

One of your clients is considering migrating their on-premises data center to AWS but is concerned about data security. They are worried that their data might be vulnerable to security threats and breaches, and they want to ensure the safety of their data before migrating to AWS. Which of the following statements is the best to use to assure the client of data security?

A) Instances operating on the same physical computer are kept apart by AWS using AES-256 encryption.

B) All instances operating on the same physical system are shielded from one another by the hypervisor and AES-256 encryption.

C) To ensure data isolation and security, the hypervisor separates instances operating on the same physical system.

D) IAM permissions are used to protect data and separate various instances operating on the same physical system.

Explanation:

Answer - C

Option C is the correct answer since the hypervisor is responsible for maintaining the virtual machine's isolation and ensuring data security. AWS hypervisor separates instances running on the same physical system to prevent security threats and data breaches.

Option A and B are incorrect since AES-256 encryption is used to protect data at rest and in transit but not to separate instances running on the same physical computer.

Option D is incorrect since IAM permissions are used for access management, not for segregating instances running on the same physical system.

Question 4:

Your company has recently completed a project in which confidential web server documentation was uploaded to an S3 bucket. You must ensure that this documentation is not accessible to the general public directly from S3. Which of the following methods would meet the requirement while using CloudFront?

A) Make a unique IAM user just for CloudFront, and give that person access to the S3 bucket.

B) For CloudFront, establish an Origin Access Identity (OAI) and restrict access to it only.

C) Only give access to CloudFront in each S3 bucket's individual policy.

D) To create a policy for an S3 bucket, specify the Amazon Resource Name (ARN) of the target bucket as the resource, and designate the principal as the CloudFront distribution ID.

Explanation:

Answer - B

Option B is the correct answer because you can generate an Origin Access Identity (OAI) for CloudFront and limit access solely to that particular OAI. This ensures that CloudFront has permission to access files in the S3 bucket, while preventing direct access to these files from S3 by unauthenticated users.

Option A is incorrect because creating an IAM user for CloudFront does not restrict access to the S3 bucket from the public.

Option C is incorrect because creating a separate policy for each bucket in which documents are stored and granting access to only CloudFront is not necessary. It's best to use an Origin Access Identity (OAI) in this scenario.

Option D is incorrect because creating an S3 bucket policy with the CloudFront distribution ID as the principal and the destination bucket as the Amazon Resource Name (ARN) does not restrict the general public from accessing the files directly from S3.

Question 5:

A company has a web application deployed on an EC2 instance in AWS. The application is frequently accessed by customers around the world, and the company wants to ensure the best possible performance and availability. Which of the following solutions would meet the company's requirements?

A) Deploy a single EC2 instance and use Amazon Route 53 to route traffic to the instance closest to the customer.

B) Deploy multiple EC2 instances in multiple Availability Zones and use Amazon Route 53 to distribute traffic across the instances.

C) Deploy multiple EC2 instances in a single Availability Zone and use Amazon Elastic Load Balancing to distribute traffic across the instances.

D) Deploy multiple EC2 instances in a single Availability Zone and use an Auto Scaling group to automatically add or remove instances based on traffic.

Explanation:

Answer - B

Deploying multiple EC2 instances across multiple Availability Zones ensures that the application is highly available and fault-tolerant. Route 53 can be used to distribute traffic across these instances, improving performance for customers around the world.

Option A is incorrect because it only deploys a single EC2 instance, which is not highly available or fault-tolerant.

Option C is incorrect because it only deploys multiple EC2 instances in a single Availability Zone, which is not fault-tolerant.

Option D is incorrect because it only deploys multiple EC2 instances in a single Availability Zone and relies on an Auto Scaling group to manage the instances. While this improves availability, it does not provide the fault tolerance that deploying across multiple Availability Zones would provide.

Question 6:

A company is launching a new mobile app that will store sensitive customer data in a backend database hosted on AWS RDS. The company wants to ensure that only authorised personnel have access to the database. What should the company do to meet the requirements?

A) Assign the master password of the RDS database to all authorized personnel and revoke access if they leave the company.

B) Open access to the RDS database from any IP address and rely on the encryption of the database to protect the sensitive data.

C) Create an IAM user for each authorized personnel and grant them access to the database by attaching appropriate policies.

D) Configure the RDS database to allow access only from the company's office network and provide the authorized personnel with VPN access to the network.

Explanation:

Answer - C

Option A is incorrect because sharing a master password with multiple individuals can make the password vulnerable to misuse, and revoking access will be a challenge if the employee forgets or shares the password with someone else.

Option B is incorrect because relying solely on database encryption to protect sensitive data is not sufficient; access controls must be implemented to restrict access to only authorized personnel.

Option D is incorrect because allowing access only from the company's office network will restrict access to authorized personnel who are outside of the office, such as remote employees or contractors.

Option C is the best solution because it allows the company to create individual IAM users for each authorized personnel and grant access to the database by attaching appropriate policies. This will ensure that access is only granted to individuals who require it, and access can be easily revoked or modified as necessary. The IAM users can be managed centrally through the AWS Management Console, making it easier to track and manage access to the database.

Question 7:

Your company is developing a mobile app that will allow users to easily manage their daily expenses. The app will allow users to track their income, expenses, and savings, and provide suggestions for cost-cutting. You've been tasked by management to design a backend system that meets the following requirements:

The system should be able to handle large amounts of data in real-time.

The system should be highly available and fault-tolerant.

The system should provide real-time analytics on the user's spending habits.

The system should be scalable to accommodate future growth.

Which of the following architectures will meet the system's initial requirements?

A) Use MySQL as the database, and deploy the system on a single server.

B) Use Apache Kafka as a message broker, and deploy the system on a cluster of servers with load balancers.

C) The recommended approach is to employ Amazon S3 as a storage solution for the data, while utilizing Amazon Redshift for conducting analytics.

D) Use Apache Spark for real-time analytics, and deploy the system on a cluster of servers with load balancers.

Explanation:

Answer - B

B is the correct response. Kafka is a distributed message broker that can handle large amounts of data in real-time, making it ideal for handling user data in real-time. Deploying the system on a cluster of servers with load balancers will provide high availability and fault-tolerance. Additionally, Kafka's scalability allows for future growth.

Option A is incorrect because MySQL is not suitable for handling large amounts of data in real-time, and a single server does not provide high availability or fault-tolerance.

Option C is incorrect because S3 is not designed for real-time analytics, and Redshift is not suitable for storing data in real-time.

Question 8:

A data scientist is working on a machine learning project to predict customer churn for a subscription-based service. The data set includes customer demographics, usage patterns, and billing information. The project must be completed within two weeks. Which of the following options will meet the data scientist's requirements?

A) Use a decision tree algorithm to create a predictive model in R. Deploy the model using Flask on a Docker container on an EC2 instance.

B) Use a neural network algorithm to create a predictive model in Python. Deploy the model using Kubernetes on a Docker container on an EC2 instance.

C) Use a logistic regression algorithm to create a predictive model in MATLAB. Deploy the model using Docker Compose on an EC2 instance.

D) Use a support vector machine algorithm to create a predictive model in Python. Deploy the model using AWS Lambda on an EC2 instance.

Explanation:

Answer - B

To meet the data scientist's requirements, the most suitable option is to use a neural network algorithm to create a predictive model in Python. Deploying the model using Kubernetes on a Docker container on an EC2 instance ensures scalability, high availability, and fault-tolerance, which are essential requirements in a production environment.

Option A is incorrect because using Flask on a Docker container on an EC2 instance does not provide scalability, high availability, or fault-tolerance. In addition, a decision tree algorithm may not be the best choice for predicting customer churn.

Option C is incorrect because using Docker Compose on an EC2 instance does not provide scalability, high availability, or fault-tolerance. In addition, a logistic regression algorithm may not be the best choice for predicting customer churn.

Option D is incorrect because using AWS Lambda on an EC2 instance does not provide scalability or high availability. In addition, a support vector machine algorithm may not be the best choice for predicting customer churn.

Question 9:

A healthcare company collects patient data from multiple hospitals and clinics located in different countries. The data is stored in different databases and needs to be consolidated in a central location for analysis. The predicted data size is in terabytes (TB). What's the best approach to consolidate the data?

A) Use AWS Snowball to transfer the data to Amazon S3, and use AWS Glue to perform the consolidation.

B) Use AWS Direct Connect to transfer the data to an Amazon RDS instance, and use AWS Glue to perform the consolidation.

C) Use AWS Glue to extract the data from the different databases, transform it, and load it into an Amazon Redshift data warehouse for consolidation.

D) Use AWS Lambda to extract the data from the different databases, transform it, and load it into an Amazon S3 bucket for consolidation.

Explanation:

Answer - C

To consolidate data from different databases, the best approach is to use AWS Glue to extract the data, transform it, and load it into an Amazon Redshift data warehouse for consolidation. Redshift is a fully managed data warehouse service that is designed for large-scale data warehousing and analytics. It provides fast query performance and can handle petabyte-scale data warehouses. AWS Glue is a fully managed ETL (extract, transform, load) service that can be used to automate the process of extracting data from multiple sources, transforming it, and loading it into Redshift.

Option A is incorrect because Snowball is designed for transferring large amounts of data to Amazon S3, but it is not the best solution for consolidating data from multiple databases.

Option B is incorrect because Direct Connect is designed for establishing a dedicated network connection between on-premises infrastructure and AWS, but it is not the best solution for consolidating data from multiple databases.

Option D is incorrect because Lambda is